AI Runtime Engineer

AI Runtime Engineer

Full-Time 72000 - 88000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and develop optimisations for AI runtime across various hardware platforms.
  • Company: Join Modular, a Qualcomm company, revolutionising AI infrastructure.
  • Benefits: Enjoy competitive salary, comprehensive healthcare, and learning opportunities.
  • Other info: Dynamic team culture with excellent career growth and team-building events.
  • Why this job: Make a real impact in AI development and work with industry leaders.
  • Qualifications: 2+ years in high-performance computing and C++ programming required.

The predicted salary is between 72000 - 88000 £ per year.

About Modular

At Modular, a Qualcomm company, we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges.

About The Role

ML developers today face significant friction when deploying trained models. They work in a fragmented space with incomplete, patchwork solutions that require extensive performance tuning and model-specific optimizations. At Modular, we are building the next-generation AI platform that will radically improve how developers build and deploy AI models. A core part of this offering is a platform that enables customers to achieve state-of-the-art performance across model families and frameworks. As an AI Runtime Engineer, you will own a runtime that operates on various CPU, GPU, and accelerator hardware platforms, optimizing performance for diverse customer AI models.

LOCATION

Candidates based in the United Kingdom are welcome to apply. This role will be based in our Edinburgh office (minimum 3 days per week on-site) with relocation assistance provided for eligible candidates. All new hires complete onboarding in-person.

What You Will Do

  • Design and develop runtime and cross-stack optimizations to improve CPU, GPU, and accelerator efficiency, addressing issues such as CPU overhead, caching, and data locality across multiple devices.
  • Work with vendor-specific networking libraries to unlock high performance data transfer for multiple topologies.
  • Collaborate with the compiler, kernels, serving, and models teams to design core technologies that achieve state-of-the‑art end‑to‑end performance on various CPU and GPU hardware.
  • Collaborate with the customer success team and engage with customers to understand their performance requirements and use cases.
  • Collaborate with tooling and infrastructure teams to design systems for automated performance analysis and benchmarking.

What You Bring To The Table

  • 2+ years of experience working on high-performance computing systems.
  • Experience in C++ programming and complex software systems.
  • Experience with CPU or GPU runtime optimizations and performance analysis on CPUs, GPUs, or AI accelerators.
  • Proficiency with one or more profiling tools (CPU or GPU).
  • Creativity and curiosity for solving complex problems, a team‐oriented attitude that enables you to work well with others, and alignment with our culture.

Helpful, But Not Required

  • Experience with ML graph optimizations, parallel / distributed programming, heterogeneous ML computation, and/or code generation.
  • Exposure to MLIR, LLVM, and/or the Mojo programming language.
  • Advanced degree in Computer Science or a related area is a plus.

What Modular Brings To The Table

  • Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders.
  • World-class Benefits. In order to attract the best, we need to offer the best. Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities.
  • Competitive Compensation. We offer very strong compensation packages, including RSU grants.
  • Team Building Events. We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles.

Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.

The estimated base salary range for this role to be performed in the United Kingdom, is £82,800.00 - £123,600.00 GBP. The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation.

For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have upcoming openings that are lower/higher level than the ones advertised.

Modular is proud to emphasize an equal opportunity, safe environment for people to do their best work. Modular is an affirmative action employer. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

If you require reasonable accommodations to participate in the interview process, please let your recruiter know, and we will work with you to meet your needs in compliance with the ADA.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

AI Runtime Engineer employer: Modular, a Qualcomm company

At Modular, a Qualcomm company, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Edinburgh office offers a vibrant environment where talented individuals can thrive, supported by world-class benefits, competitive compensation, and ample opportunities for professional growth. Join us to work alongside industry leaders in AI infrastructure, making a meaningful impact while enjoying a balanced work-life experience.

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Contact Details:

Modular, a Qualcomm company Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Runtime Engineer

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Modular, a Qualcomm company or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Modular, a Qualcomm company.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Modular, a Qualcomm company.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Modular, a Qualcomm company that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Runtime Engineer

C++ Programming
High-Performance Computing
CPU Runtime Optimizations
GPU Runtime Optimizations
Performance Analysis
Profiling Tools
Collaboration Skills

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Modular, a Qualcomm company.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Modular, a Qualcomm company and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Modular, a Qualcomm company

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Modular, a Qualcomm company uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.